How to Learn Logistic Regression Free in Python
Download premium video course on Logistic Regression for free and start learning Python machine learning with real-life projects today.
Logistic Regression in Python Overview:
Master the basics of Logistic Regression in Python with this premium video course available completely free. Learn how to work with real-world data, perform data preprocessing, and build machine learning models using Python. This course teaches predictive modeling techniques that help you analyze past data and predict future outcomes efficiently. Gain a solid understanding of core concepts through structured lessons and practical exercises designed for beginners and intermediate learners alike.
Explore important techniques such as linear discriminant analysis, K-Nearest Neighbors, and classification models using Python libraries like Scikit Learn, Statsmodels, and Seaborn. The course guides you through univariate analysis, basic statistics with NumPy, and solving real-life classification problems. Start-Tech Academy delivers top-quality content combined with hands-on project opportunities to ensure learners can apply their skills effectively in the field of analytics and machine learning.
This free premium course simplifies logistic regression using Python for real-world applications.
What You’ll Learn in Logistic Regression in Python:
- Interpret logistic regression results and derive actionable insights
- Apply linear discriminant analysis and KNN techniques in Python
- Perform univariate data analysis before running models
- Use machine learning to predict future outcomes using past data
- Master data collection and preprocessing techniques
- Work on end-to-end DIY project for hands-on learning
- Understand basic statistics with NumPy
- Visualize data using Seaborn library
- Implement classification techniques with Scikit Learn and Statsmodels
Course Highlights:
- Real-World Learning: Apply your knowledge through a hands-on project
- Expert Instructors: Learn from industry professionals with years of experience
- Tools Covered: Python, Seaborn, NumPy, Scikit Learn, Statsmodels
- Beginner-Friendly: Designed for new learners with step-by-step guidance
- Free Access: Get the entire course without any cost
Logistic Regression Info:
Logistic Regression in Python by Start-Tech Academy offers a detailed and practical learning path for machine learning beginners. With a file size of 2.99 GB, this free premium course includes structured lessons, hands-on projects, and tools like Seaborn, NumPy, and Scikit Learn. Created by Abhishek Bansal and Pukhraj Parikh, professionals with real-world experience, the course provides knowledge that goes beyond theory. Released in May 2024 on Udemy, it supports English and includes full downloadable content in .zip/.rar format for easy offline access.
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